Workflow Templates

This workflow is an experiment to integrate charts in AI Agents, using the new Structured Output from OpenAI and Quickchart.io. How it works Users chat with an AI Agent. Anytime the AI Agent considers a chart is needed, it calls a tool to generate a chart OpenAI generates a chart using the Quickchart definition This object is added at the end of a Quickchart.io URL (see documentation) The url is added in the conversation via the AI Agent as markdown. Set up steps Create an OpenAI API Key Create the OpenAI credentials Use the credentials for the HTTP Request node (as Predefined Credential type) Activate your workflow Start chatting For example, you can ask the AI Agent to generate a chart about the top 5 movies at the box office Start exploring the limits Shout-out Quickchart.io is an amazing open source project that provides a free API to test. Go check them out! Example of chart

What This Workflow Does: This n8n workflow automatically generates an AI-powered summary and relevant tags whenever a new row is added to your Notion database. Simply save any URL to your Notion database using the [Notion Web Clipper] Chrome extension or [Save to Notion]—on both desktop and mobile. This keeps all your saved content organized in one place instead of scattered across different platforms. How it works: The workflow is triggered when a new row is added to your Notion database (it checks for updates every minute). It retrieves the content from the saved URL. An AI agent analyzes the content to generate a summary and relevant tags. The AI output is then formatted properly. Finally, the formatted summary and tags are saved into the appropriate columns in your Notion database. Notes: Make sure your Notion database includes the following columns: URL – Stores the content URL you want to summarize. AI Summary – Where the AI-generated summary will be added. Tags – Where the AI-generated tags will be saved.

Transform raw customer feedback into powerful testimonial quotes automatically. This intelligent workflow monitors feedback forms, uses AI to identify and extract the most emotionally engaging testimonial content, and organizes everything into a searchable database for your marketing campaigns - turning every piece of customer feedback into potential marketing assets. 🚀 What It Does Smart Feedback Monitoring: Automatically detects new customer feedback submissions from Google Forms and triggers testimonial extraction within minutes. AI-Powered Quote Extraction: Uses Google Gemini to analyze feedback and extract short, emotionally engaging testimonial quotes while filtering out neutral or irrelevant content. Marketing-Ready Output: Focuses on impactful phrases and statements that work perfectly for websites, social media, ads, and sales materials. Automated Database Building: Creates and maintains a searchable testimonial library in Google Sheets with customer details and extracted quotes. Instant Team Notifications: Sends immediate email alerts to your marketing team with new testimonials, ensuring no valuable social proof goes unused. 🎯 Key Benefits ✅ Never Miss Marketing Gold: Automatically extract value from every feedback submission ✅ Save 8+ Hours Weekly: Eliminate manual review of feedback for testimonials ✅ Build Social Proof Library: Create searchable database of customer quotes ✅ Boost Conversion Rates: Use authentic testimonials across marketing campaigns ✅ Identify Happy Customers: Spot satisfied clients for case studies and referrals ✅ Scale Content Creation: Generate testimonials faster than customers submit feedback 🏢 Perfect For Businesses Needing Social Proof E-commerce stores showcasing product satisfaction SaaS companies highlighting user success stories Service businesses building trust and credibility Coaches and consultants demonstrating client results Marketing Applications Website Content**: Populate testimonial sections automatically Social Media**: Create quote posts and success story content Sales Materials**: Include powerful customer quotes in proposals Email Marketing**: Add authentic testimonials to campaigns ⚙️ What's Included Complete Workflow Setup: Ready-to-deploy n8n workflow with all integrations configured Google Forms Integration: Automatically processes new feedback submissions AI Quote Extraction: Google Gemini identifies most impactful testimonial content Database Management: Organized Google Sheets storage with customer information Team Notifications: Instant email alerts to marketing team members Setup Documentation: Complete configuration and customization guide 🔧 Technical Requirements n8n Platform**: Cloud or self-hosted instance Google Workspace**: For Forms, Sheets, and Gmail integration Google Gemini API**: For AI-powered testimonial extraction (free tier available) Customer Feedback**: Existing or new feedback collection process 📊 Before & After Examples Before (Raw Customer Feedback): "I was really struggling with managing my team's projects and keeping track of all the deadlines. Everything was scattered across different tools and I was spending way too much time just trying to figure out what everyone was working on. Since we started using your project management software about 6 months ago, it's been a complete game changer. Now I can see everything at a glance, our team communication has improved dramatically, and we're actually finishing projects ahead of schedule. The reporting features are amazing too - I can finally show my boss concrete data about our team's productivity. I honestly don't know how we managed without it. The customer support team has been fantastic as well, always quick to help when we had questions during setup." After (AI Extracted Testimonial): "Complete game changer - now I can see everything at a glance, our team communication has improved dramatically, and we're actually finishing projects ahead of schedule." Healthcare Example: Raw Feedback: "I had been dealing with chronic back pain for over 3 years and had tried everything - physical therapy, medication, different doctors. Nothing seemed to help long-term. When I found Dr. Martinez, I was honestly pretty skeptical because I'd been disappointed so many times before. But after our first consultation, I felt hopeful for the first time in years. She really listened to me and explained everything clearly. The treatment plan she developed was comprehensive but manageable. Within just 2 months, I was experiencing significant pain reduction, and now after 6 months, I'm practically pain-free. I can play with my kids again, sleep through the night, and even started hiking on weekends. Dr. Martinez didn't just treat my symptoms - she helped me get my life back." Extracted Testimonial: "Within just 2 months, I was experiencing significant pain reduction, and now I'm practically pain-free. Dr. Martinez didn't just treat my symptoms - she helped me get my life back." 🎨 Customization Options Industry-Specific Extraction: Tailor AI prompts for healthcare, technology, finance, retail terminology Quote Length Control: Adjust extraction for short punchy quotes vs longer detailed testimonials Sentiment Targeting: Focus on specific emotions like excitement, relief, satisfaction, transformation Multi-Channel Forms: Connect multiple feedback sources to one testimonial database Approval Workflows: Add human review step before testimonials go live CRM Integration: Connect extracted testimonials to customer records 🔄 How It Works Customer submits feedback via your Google Form Workflow detects new submission within 1 minute automatically AI analyzes feedback content to identify most impactful statements Testimonial quote is extracted and formatted for marketing use Quote is saved to database with customer details and timestamp Marketing team receives email with new testimonial content 💡 Use Case Examples SaaS Company: Automatically extract user success quotes from feature feedback surveys for website testimonials E-commerce Store: Turn product review submissions into powerful testimonial quotes for product pages and ads Healthcare Practice: Extract patient satisfaction quotes from feedback forms for website and marketing materials Consulting Firm: Convert client project feedback into testimonials highlighting business transformation results 📈 Expected Results 300% increase** in testimonial collection vs manual methods 90% time savings** on testimonial creation and organization 50% improvement** in marketing content authenticity 25% boost** in conversion rates using extracted testimonials Unlimited scalability** as feedback volume grows 🛠️ Setup & Support Quick Deployment: Complete setup in 20 minutes with included guide Pre-Built Prompts: AI extraction prompts optimized for different industries Template Library: Ready-to-use feedback forms and testimonial layouts Video Tutorial: Complete walkthrough from setup to first extracted testimonial 📞 Get Help & Learn More 🎥 Free Video Tutorials YouTube Channel: https://www.youtube.com/@YaronBeen/videos Complete setup and configuration guide 💼 Professional Support LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for testimonial marketing strategy consulting Share your social proof automation success stories Access exclusive templates for different business types 📧 Direct Support Email: Yaron@nofluff.online Technical setup assistance and customization help AI prompt optimization for your specific business Integration with existing marketing and CRM systems Response within 24 hours

Description This n8n workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the n8n-nodes-tesseractjs Community Node). It's a quick and straightforward way to convert images into readable text directly through chat. How it Works The workflow listens for new image messages coming in via the Telegram bot. Once an image is received, it downloads the image file from Telegram (which initially arrives as application/octet-stream). The image data, now properly identified, is then sent to the Tesseract OCR node to extract the text. Finally, the recognized text is sent back as a reply to the Telegram user. Setup Steps Install Community Node: Ensure you have installed n8n-nodes-tesseractjs in your n8n instance. Connect Telegram Bot: Configure the Telegram Trigger node with your Telegram bot. Bot Token: Add your Telegram bot token to the Send Message node to send replies. Deploy & Test: Activate (deploy) the workflow and send an image to your Telegram bot to test.

Description: Automate your AI newsletter creation and delivery using this ready-to-deploy n8n workflow template. Powered by GPT (OpenAI/Azure) and integrated with Gmail, this workflow generates rich, structured, and engaging AI-focused newsletters and sends them out daily or weekly—completely hands-free. What It Does: 📰 Fetches the latest AI trends and updates using GPT ✍️ Automatically formats news into structured newsletter sections: headlines, tools, stats, tips, and more 📧 Sends HTML email newsletters via Gmail 🕘 Runs automatically at your chosen schedule (default: 9 AM daily) Setup Includes: Connect your OpenAI or Azure GPT API Add Gmail SMTP or OAuth credentials Customize categories, schedule, and email styling Perfect for: Tech bloggers, content marketers, AI influencers, and automation enthusiasts who want to send curated AI content to their audience without manual effort.

How it works This workflow automates the conversion of various document formats (such as PDF, Word, and PPT) into Markdown. It connects to the MinerU API service, which leverages OCR, formula, and table recognition to produce high-quality output. Users can initiate the process by simply uploading a document through an n8n chat interface. Set up steps Ensure you have a local n8n instance running. Set up and run the MinerU MCP (MinerU Computing Platform) server locally. Import this workflow into your n8n instance. Configure your AI model credentials (e.g., for OpenAI, add your API Key and Base URL). Click the "Write Files from Disk" node and edit the file path to your desired local save location. Click the "MCP Client" node and input your MinerU MCP server address (e.g., http://localhost:8000/sse). Click the "Open Chat" button to upload a file, send a message, and test the workflow.

his workflow automates time tracking using location-based triggers. How it works Trigger: It starts when you enter or exit a specified location, triggering a shortcut on your iPhone. Webhook: The shortcut sends a request to a webhook in n8n. Check-In/Check-Out: The webhook receives the request and records the time and whether it was a "Check-In" or "Check-Out" event. Google Sheets: This data is then logged into a Google Sheet, creating a record of your work hours. Set up steps Google Drive: Connect your Google Drive account. Google Sheets: Connect your Google Sheets account. Webhook: Set up a webhook node in n8n. iPhone Shortcuts: Create two shortcuts on your iPhone, one for "Check-In" and one for "Check-Out." Configure Shortcuts: Configure each shortcut to send a request to the webhook with the appropriate "Direction" header. It's easy to setup, around 5 minutes.

This n8n template offers a simple yet capable chatbot assistant who can answer course enquiries over SMS. Given the right access to data, AI Agents are capable of planning and performing relatively complex research tasks to get their answers. In this example, the agent must first understand the database schema, retrieve lists of values before generating it's own query to search over the database. Checkout the example database here - https://airtable.com/appO5xvP1aUBYKyJ7/shr8jSFDaghubDOrw How it works A Twilio trigger gives us the ability to receive SMS input into our workflow via webhook. The message is then directed to our AI agent who is instructed to assist the user and use the course database as reference. The database is an Airtable base. The agent autonomously figures out which tool it needs to use and generates it's own "filter_by_formula" query to search over the available courses. On successful search results, the Agent can then use this information to answer the user's query. The Agent's output is logged in a second sheet of the Airtable base. We can use this later for analysis and lead gen. Finally, the response is sent back to the user through SMS using Twilio. How to use Ensure your Twilio number is set to forward messages to this workflow's webhook URL. Configure and update the course database as required. If you're not interested in courses, you can swap this out for inventory, deliveries or any other data relevant to your business. Ask questions like: "Can you help me find suitable courses to fill my Wednesday mornings?" "Which courses are being instructed by profession Lee?" "I'm interested in creative arts. What courses are available which could be relevant to me?" Requirements Twilio for SMS receiving and sending OpenAI for LLM and Agent Airtable for Course Database Customising this workflow Add additional tools and expand the range of queries the agent is able to answer or assist with. Not using Airtable? This technique also works with SQL databases like PostgreSQL.

This workflow creates a Slack thread when a new ticket is created in Zendesk. Subsequent comments on the ticket in Zendesk are added as replies to the thread in Slack. Prerequisites Zendesk account and Zendesk credentials. Slack account and Slack credentials. Slack channel to create threads in. How it works The workflow listens for new tickets in Zendesk. When a new ticket is created, the workflow creates a new thread/message in Slack. The Slack thread ID is then saved in one of the ticket's fields called "Slack thread ID". The next time a comment is added to the ticket, the workflow retrieves the Slack thread ID from the ticket's field and adds the comment to the thread/message in Slack as a reply. Setup This workflow requires that you set up a webhook in Zendesk. To do so, follow the steps below: In the workflow, open the On new Zendesk ticket node and copy the webhook URL. In Zendesk, navigate to Admin Center > Apps and integrations > Webhooks > Actions > Create Webhook. Add all the required details which can be retrieved from the On new Zendesk ticket node. The webhook URL gets added to the “Endpoint URL” field, and the “Request method” should match what is shown in n8n. Save the webhook. In Zendesk, navigate to Admin Center > Objects and rules > Business rules > Triggers > Add trigger. Give trigger a name such as “New tickets”. Under “Conditions” in “Meet ALL of the following conditions”, add “Status is New”. Under “Actions”, select “Notify active webhook” and select the webhook you created previously. In the JSON body, add the following: { "id": "{{ticket.id}}", "comment": "{{ticket.latest_comment_html}}" } Save the Zendesk trigger. You will also need to set up a field in Zendesk to store the Slack thread ID. To do so, follow the steps below: In Zendesk, navigate to Admin Center > Objects and rules > Tickets > Fields > Add field. Use the text field option and give the field a name such as “Slack thread ID”. Save the field. In n8n, open the Update ticket node and select the field you created in Zendesk.

Markdown to Notion Blocks Converter Transform markdown-formatted text into properly structured Notion page content with this comprehensive workflow. Overview This workflow automatically converts markdown text into Notion's block format and inserts it directly into a Notion page. Perfect for content creators, documentation teams, and anyone who needs to migrate markdown content to Notion. Features Complete Markdown Support**: Handles headers (H1-H4), paragraphs, lists, quotes, code blocks, and horizontal rules Rich Text Formatting**: Preserves bold, italic, and link formatting Smart Text Processing**: Generates plain text excerpts and maintains original content structure Direct Notion Integration**: Automatically inserts converted blocks into your specified Notion page Batch Processing**: Efficiently handles large content blocks What It Does Takes markdown-formatted text as input Parses and converts it to Notion's block structure Handles complex formatting including: Headers and subheaders Bulleted and numbered lists Code blocks with syntax highlighting Blockquotes Bold and italic text Links Horizontal dividers Uploads the converted content directly to your Notion page Use Cases Content Migration**: Move existing markdown documentation to Notion Automated Publishing**: Convert blog posts or articles from markdown to Notion Documentation Workflows**: Streamline technical documentation processes Content Syndication**: Publish the same content across multiple platforms Requirements Notion API credentials Target Notion page ID Markdown-formatted source content Setup Configure your Notion API credentials Replace the page ID in the HTTP request node with your target Notion page Connect your markdown data source (replace the mock data node) Execute the workflow

Automate Video Creation with Luma AI Dream Machine and Airtable (Part 2) Description This is the second part of the Luma AI Dream Machine automation. It captures the webhook response from Luma AI after video generation is complete, processes the data, and automatically updates Airtable with the video and thumbnail URLs. This completes the end-to-end automation for video creation and tracking. 👉 Airtable Base Template 👉 Tutorial Video Setup 1. Luma AI Setup Ensure you’ve created an account with Luma AI and generated an API key. Confirm that the API key has permission to manage video requests. 2. Airtable Setup Make sure your Airtable base includes the following fields (set up in Part 1): Use the Airtable Base Template linked above to simplify setup. Generation ID** – To match incoming webhook data. Status** – Workflow status (e.g., "Done"). Video URL** – Stores the generated video URL. Thumbnail URL** – Stores the thumbnail URL. 3. n8n Setup Ensure that the n8n workflow from Part 1 is set up and configured. Import this workflow and connect it to the webhook callback from Luma AI. How It Works 1. Webhook Trigger The Webhook node listens for a POST response from Luma AI once video generation is finished. The response includes: Video URL – Direct link to the video. Thumbnail URL – Link to the video thumbnail. Generation ID – Used to match the record in Airtable. 2. Process Webhook Data The Set node extracts the video data from the webhook response. The If node checks if the video URL is valid before proceeding. 3. Store in Airtable The Airtable node updates the record with: Video URL – Direct link to the video. Thumbnail URL – Link to the video thumbnail. Status – Marked as "Done." Uses the Generation ID to match and update the correct record. Why This Workflow is Useful ✅ Automates the completion step for video creation ✅ Ensures accurate record-keeping by matching generation IDs ✅ Simplifies the process of managing and organizing video content ✅ Reduces manual effort by automating the update process Next Steps Future Enhancements** – Adding more complex post-processing, video trimming, and multi-platform publishing.

This n8n workflow template is designed to help system administrators and DevOps professionals monitor key resource usage metrics — CPU, RAM, and Disk — on a VPS (Virtual Private Server). The workflow automatically checks these resources every 15 minutes and sends an email alert if any resource usage exceeds the 80% threshold. This proactive monitoring helps maintain optimal server performance and prevents resource-related downtimes. Who This Workflow Is For • System Administrators managing Linux-based servers who need to ensure their systems are running smoothly without manual monitoring. • DevOps Professionals who manage multiple environments and need automated tools to alert them to potential issues before they affect operations. • IT Support Teams who require an easy way to keep tabs on server health across an organization’s infrastructure. How It Works Schedule Trigger: The workflow is triggered every 15 minutes by a Cron node. Resource Checks: Separate SSH Command nodes are configured to execute specific commands that check the current usage of RAM, Disk, and CPU. Data Aggregation: The results from each check are merged using a Merge node, which combines the data into a single payload for analysis. Threshold Analysis: A Function node evaluates whether any resource’s usage exceeds the predefined 80% threshold. Alerts: If any metric exceeds the threshold, an email alert is sent through an Email node, ensuring that administrators can react promptly to potential issues. Setup Steps Configure SSH Nodes: Update each SSH node with the appropriate credentials and target server details where the resource checks will be performed. Set Thresholds: If different sensitivity levels are required, review and adjust the resource usage thresholds within the Function node. Email Configuration: Enter the correct email addresses in the Email node for where alerts should be sent. Ensure that your email-sending credentials and server details are correctly configured.